The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
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New method helps AI reason like humans without extra training data
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
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